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Dept: Electrical and Computer Engineering

You searched for subject:(Image processing Data processing). Showing records 1 – 30 of 1262 total matches.

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University of New Mexico

1. Agurto Rios, Carla Paola. Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images.

Degree: Electrical and Computer Engineering, 2013, University of New Mexico

 Diabetic Retinopathy (DR) is a disease that affects up to 80% of diabetics around the world. It is the second greatest cause of blindness in… (more)

Subjects/Keywords: Diabetic retinopathy – Imaging – Data processing.; Fundus oculi – Imaging – Data processing.; Neovascularization – Imaging – Data processing.; Image processing – Digital techniques.

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APA (6th Edition):

Agurto Rios, C. P. (2013). Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/22025

Chicago Manual of Style (16th Edition):

Agurto Rios, Carla Paola. “Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images.” 2013. Doctoral Dissertation, University of New Mexico. Accessed November 13, 2019. http://hdl.handle.net/1928/22025.

MLA Handbook (7th Edition):

Agurto Rios, Carla Paola. “Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images.” 2013. Web. 13 Nov 2019.

Vancouver:

Agurto Rios CP. Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1928/22025.

Council of Science Editors:

Agurto Rios CP. Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/22025


Queens University

2. Fan, Bo. Analysis and Parallelization of JPEG-2000 Reference Software for General-Purpose Processors .

Degree: Electrical and Computer Engineering, 2011, Queens University

 Like many other multimedia applications, image compression involves a significant amount of data processing for coding images. Sophisticated general-purpose processors with parallel architectures and advanced… (more)

Subjects/Keywords: Image processing; Parallel Processing

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APA (6th Edition):

Fan, B. (2011). Analysis and Parallelization of JPEG-2000 Reference Software for General-Purpose Processors . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6855

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fan, Bo. “Analysis and Parallelization of JPEG-2000 Reference Software for General-Purpose Processors .” 2011. Thesis, Queens University. Accessed November 13, 2019. http://hdl.handle.net/1974/6855.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fan, Bo. “Analysis and Parallelization of JPEG-2000 Reference Software for General-Purpose Processors .” 2011. Web. 13 Nov 2019.

Vancouver:

Fan B. Analysis and Parallelization of JPEG-2000 Reference Software for General-Purpose Processors . [Internet] [Thesis]. Queens University; 2011. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1974/6855.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fan B. Analysis and Parallelization of JPEG-2000 Reference Software for General-Purpose Processors . [Thesis]. Queens University; 2011. Available from: http://hdl.handle.net/1974/6855

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Mexico

3. Paskaleva, Biliana. Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application.

Degree: Electrical and Computer Engineering, 2010, University of New Mexico

 The main thrust of this dissertation is to develop, prototype and test new customized algorithms for infrared spectral imaging and remote sensing of terrestrial features… (more)

Subjects/Keywords: Remote sensing images – Data processing.; Multispectral photography – Data processing.; Infrared imaging – Data processing.; Image processing – Digital techniques.; Pattern recognition systems.; Computer algorithms.

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APA (6th Edition):

Paskaleva, B. (2010). Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10897

Chicago Manual of Style (16th Edition):

Paskaleva, Biliana. “Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application.” 2010. Doctoral Dissertation, University of New Mexico. Accessed November 13, 2019. http://hdl.handle.net/1928/10897.

MLA Handbook (7th Edition):

Paskaleva, Biliana. “Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application.” 2010. Web. 13 Nov 2019.

Vancouver:

Paskaleva B. Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application. [Internet] [Doctoral dissertation]. University of New Mexico; 2010. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1928/10897.

Council of Science Editors:

Paskaleva B. Algorithms for spectral and spatio-spectral feature selection and classification for tunable sensors : theory and application. [Doctoral Dissertation]. University of New Mexico; 2010. Available from: http://hdl.handle.net/1928/10897


University of New Mexico

4. Jeromin, Oliver. Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models.

Degree: Electrical and Computer Engineering, 2009, University of New Mexico

 This dissertation focuses on the development of high-quality image reconstruction methods from a limited number of Fourier samples using optimized, stochastic and deterministic sampling geometries.… (more)

Subjects/Keywords: Image reconstruction – Digital techniques.; Image processing – Digital techniques.; Digital filters (Mathematics); Magnetic resonance imaging – Data processing.; Remote sensing – Data processing.; Mathematical optimization.; Kriging.

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APA (6th Edition):

Jeromin, O. (2009). Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/9807

Chicago Manual of Style (16th Edition):

Jeromin, Oliver. “Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models.” 2009. Doctoral Dissertation, University of New Mexico. Accessed November 13, 2019. http://hdl.handle.net/1928/9807.

MLA Handbook (7th Edition):

Jeromin, Oliver. “Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models.” 2009. Web. 13 Nov 2019.

Vancouver:

Jeromin O. Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models. [Internet] [Doctoral dissertation]. University of New Mexico; 2009. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1928/9807.

Council of Science Editors:

Jeromin O. Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models. [Doctoral Dissertation]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/9807


Mississippi State University

5. Bassie, Abby L. Image-based flight data acquisition.

Degree: MS, Electrical and Computer Engineering, 2018, Mississippi State University

  Flight data recorders (FDRs) play a critical role in determining root causes of aviation mishaps. Some aircraft record limited amounts of information during flight… (more)

Subjects/Keywords: flight data recording; flight data acquisition; image processing; 2-D cross-correlation; normalized cross-correlation

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APA (6th Edition):

Bassie, A. L. (2018). Image-based flight data acquisition. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-02192018-161924/ ;

Chicago Manual of Style (16th Edition):

Bassie, Abby L. “Image-based flight data acquisition.” 2018. Masters Thesis, Mississippi State University. Accessed November 13, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-02192018-161924/ ;.

MLA Handbook (7th Edition):

Bassie, Abby L. “Image-based flight data acquisition.” 2018. Web. 13 Nov 2019.

Vancouver:

Bassie AL. Image-based flight data acquisition. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2019 Nov 13]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-02192018-161924/ ;.

Council of Science Editors:

Bassie AL. Image-based flight data acquisition. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-02192018-161924/ ;


Oregon State University

6. Narasimhan, Revathy. Simultaneous Segmentation and Classification of Bird Song Using CNN.

Degree: MS, Electrical and Computer Engineering, 2016, Oregon State University

 In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where… (more)

Subjects/Keywords: Birdsongs  – Data processing

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APA (6th Edition):

Narasimhan, R. (2016). Simultaneous Segmentation and Classification of Bird Song Using CNN. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/60040

Chicago Manual of Style (16th Edition):

Narasimhan, Revathy. “Simultaneous Segmentation and Classification of Bird Song Using CNN.” 2016. Masters Thesis, Oregon State University. Accessed November 13, 2019. http://hdl.handle.net/1957/60040.

MLA Handbook (7th Edition):

Narasimhan, Revathy. “Simultaneous Segmentation and Classification of Bird Song Using CNN.” 2016. Web. 13 Nov 2019.

Vancouver:

Narasimhan R. Simultaneous Segmentation and Classification of Bird Song Using CNN. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1957/60040.

Council of Science Editors:

Narasimhan R. Simultaneous Segmentation and Classification of Bird Song Using CNN. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/60040


Rutgers University

7. Kaur, Parneet. Computational appearance models for quantitative dermatology.

Degree: PhD, Electrical and Computer Engineering, 2017, Rutgers University

Skin appearance modeling using high-resolution imaging has led to advances in recognition, rendering and analysis. In dermatology, workforce shortage and long patient wait time has… (more)

Subjects/Keywords: Dermatology – Data processing

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APA (6th Edition):

Kaur, P. (2017). Computational appearance models for quantitative dermatology. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55526/

Chicago Manual of Style (16th Edition):

Kaur, Parneet. “Computational appearance models for quantitative dermatology.” 2017. Doctoral Dissertation, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/55526/.

MLA Handbook (7th Edition):

Kaur, Parneet. “Computational appearance models for quantitative dermatology.” 2017. Web. 13 Nov 2019.

Vancouver:

Kaur P. Computational appearance models for quantitative dermatology. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55526/.

Council of Science Editors:

Kaur P. Computational appearance models for quantitative dermatology. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55526/


University of New Mexico

8. Gonzalez Ruiz, Alejandro. Distributed load balancing over directed network topologies.

Degree: Electrical and Computer Engineering, 2009, University of New Mexico

 Due to the increasing demand for high performance computing and the increasing availability of high speed networks, it has become possible to interconnect various geographically… (more)

Subjects/Keywords: Electronic data processing – Distributed processing; Internetworking (Telecommunication); Directed graphs – Data processing.

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APA (6th Edition):

Gonzalez Ruiz, A. (2009). Distributed load balancing over directed network topologies. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/9779

Chicago Manual of Style (16th Edition):

Gonzalez Ruiz, Alejandro. “Distributed load balancing over directed network topologies.” 2009. Masters Thesis, University of New Mexico. Accessed November 13, 2019. http://hdl.handle.net/1928/9779.

MLA Handbook (7th Edition):

Gonzalez Ruiz, Alejandro. “Distributed load balancing over directed network topologies.” 2009. Web. 13 Nov 2019.

Vancouver:

Gonzalez Ruiz A. Distributed load balancing over directed network topologies. [Internet] [Masters thesis]. University of New Mexico; 2009. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1928/9779.

Council of Science Editors:

Gonzalez Ruiz A. Distributed load balancing over directed network topologies. [Masters Thesis]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/9779


Georgia Tech

9. Candan, Cagatay. Minimum Distortion Data Hiding for Compressed Images.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 We present a novel data hiding method for compressed images. The method is designed to minimize the quality loss associated with data embedding into a… (more)

Subjects/Keywords: Image processing; Data hiding; JPEG compression

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APA (6th Edition):

Candan, C. (2004). Minimum Distortion Data Hiding for Compressed Images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5140

Chicago Manual of Style (16th Edition):

Candan, Cagatay. “Minimum Distortion Data Hiding for Compressed Images.” 2004. Doctoral Dissertation, Georgia Tech. Accessed November 13, 2019. http://hdl.handle.net/1853/5140.

MLA Handbook (7th Edition):

Candan, Cagatay. “Minimum Distortion Data Hiding for Compressed Images.” 2004. Web. 13 Nov 2019.

Vancouver:

Candan C. Minimum Distortion Data Hiding for Compressed Images. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1853/5140.

Council of Science Editors:

Candan C. Minimum Distortion Data Hiding for Compressed Images. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/5140


Oregon State University

10. Eo, Jin-woo. Multi-variate morphological filtering with applications to color image processing.

Degree: PhD, Electrical and Computer Engineering, 1992, Oregon State University

 Mathematical morphology, developed in the early 1960's for single-component signals, has been applied to a number of image processing applications. This investigation examines the systematic… (more)

Subjects/Keywords: Image processing

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APA (6th Edition):

Eo, J. (1992). Multi-variate morphological filtering with applications to color image processing. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/36261

Chicago Manual of Style (16th Edition):

Eo, Jin-woo. “Multi-variate morphological filtering with applications to color image processing.” 1992. Doctoral Dissertation, Oregon State University. Accessed November 13, 2019. http://hdl.handle.net/1957/36261.

MLA Handbook (7th Edition):

Eo, Jin-woo. “Multi-variate morphological filtering with applications to color image processing.” 1992. Web. 13 Nov 2019.

Vancouver:

Eo J. Multi-variate morphological filtering with applications to color image processing. [Internet] [Doctoral dissertation]. Oregon State University; 1992. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1957/36261.

Council of Science Editors:

Eo J. Multi-variate morphological filtering with applications to color image processing. [Doctoral Dissertation]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/36261


Oregon State University

11. Kwon, Tae-hwan. Restoration of quadratically distorted images.

Degree: PhD, Electrical and Computer Engineering, 1990, Oregon State University

 The problem of the restoration of quadratically distorted images is considered in this investigation, based upon the fact that images formed by partially coherent illuminations… (more)

Subjects/Keywords: Image processing

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APA (6th Edition):

Kwon, T. (1990). Restoration of quadratically distorted images. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/37485

Chicago Manual of Style (16th Edition):

Kwon, Tae-hwan. “Restoration of quadratically distorted images.” 1990. Doctoral Dissertation, Oregon State University. Accessed November 13, 2019. http://hdl.handle.net/1957/37485.

MLA Handbook (7th Edition):

Kwon, Tae-hwan. “Restoration of quadratically distorted images.” 1990. Web. 13 Nov 2019.

Vancouver:

Kwon T. Restoration of quadratically distorted images. [Internet] [Doctoral dissertation]. Oregon State University; 1990. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1957/37485.

Council of Science Editors:

Kwon T. Restoration of quadratically distorted images. [Doctoral Dissertation]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37485


Mississippi State University

12. Hu, Lequn. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.

Degree: MS, Electrical and Computer Engineering, 2009, Mississippi State University

 In this thesis, algorithms for image registration and segmentation are developed to locate and identify DU penetrators and associated metal projectile debris on or near… (more)

Subjects/Keywords: image processing; registration; segmentation; LWIR

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APA (6th Edition):

Hu, L. (2009). DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;

Chicago Manual of Style (16th Edition):

Hu, Lequn. “DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.” 2009. Masters Thesis, Mississippi State University. Accessed November 13, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;.

MLA Handbook (7th Edition):

Hu, Lequn. “DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.” 2009. Web. 13 Nov 2019.

Vancouver:

Hu L. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2019 Nov 13]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;.

Council of Science Editors:

Hu L. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;


Rutgers University

13. Tadimeti, Neha, 1992-. Multi-linear algebra based techniques for foreground and background separation.

Degree: MS, Electrical and Computer Engineering, 2017, Rutgers University

 The work presented in this thesis aims to understand the use of tensor algebra for background and foreground separation in videos. Specifically, it tries to… (more)

Subjects/Keywords: Tensor algebra; Image processing

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APA (6th Edition):

Tadimeti, Neha, 1. (2017). Multi-linear algebra based techniques for foreground and background separation. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/52277/

Chicago Manual of Style (16th Edition):

Tadimeti, Neha, 1992-. “Multi-linear algebra based techniques for foreground and background separation.” 2017. Masters Thesis, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/52277/.

MLA Handbook (7th Edition):

Tadimeti, Neha, 1992-. “Multi-linear algebra based techniques for foreground and background separation.” 2017. Web. 13 Nov 2019.

Vancouver:

Tadimeti, Neha 1. Multi-linear algebra based techniques for foreground and background separation. [Internet] [Masters thesis]. Rutgers University; 2017. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52277/.

Council of Science Editors:

Tadimeti, Neha 1. Multi-linear algebra based techniques for foreground and background separation. [Masters Thesis]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52277/


University of Florida

14. Challa, Obulapathi Nayudu. Cubesat Cloud a Framework for Distributed Storage, Processing and Communication of Remote Sensing Data on Cubesat Clusters.

Degree: PhD, Electrical and Computer Engineering, 2013, University of Florida

 CubeSat Cloud is a novel vision for a space based remote sensing network that includes a collection of small satellites (including CubeSats), ground stations, and… (more)

Subjects/Keywords: Artificial satellites; Bandwidth; Communications satellites; Cumulative distribution functions; Data transmission; Downlinking; Earth stations; Image processing; Remote sensing; Simulations; bigdata  – cloud  – communication  – cubesat  – processing  – satellite  – storage

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APA (6th Edition):

Challa, O. N. (2013). Cubesat Cloud a Framework for Distributed Storage, Processing and Communication of Remote Sensing Data on Cubesat Clusters. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046139

Chicago Manual of Style (16th Edition):

Challa, Obulapathi Nayudu. “Cubesat Cloud a Framework for Distributed Storage, Processing and Communication of Remote Sensing Data on Cubesat Clusters.” 2013. Doctoral Dissertation, University of Florida. Accessed November 13, 2019. http://ufdc.ufl.edu/UFE0046139.

MLA Handbook (7th Edition):

Challa, Obulapathi Nayudu. “Cubesat Cloud a Framework for Distributed Storage, Processing and Communication of Remote Sensing Data on Cubesat Clusters.” 2013. Web. 13 Nov 2019.

Vancouver:

Challa ON. Cubesat Cloud a Framework for Distributed Storage, Processing and Communication of Remote Sensing Data on Cubesat Clusters. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Nov 13]. Available from: http://ufdc.ufl.edu/UFE0046139.

Council of Science Editors:

Challa ON. Cubesat Cloud a Framework for Distributed Storage, Processing and Communication of Remote Sensing Data on Cubesat Clusters. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046139


Wayne State University

15. Chandramohan, Sabarish. Dense Periodical Patterns In Photonic Devices: Technology For Fabrication And Device Performance.

Degree: PhD, Electrical and Computer Engineering, 2016, Wayne State University

  For the fabrication, focused ion beam parameters are investigated to successfully fabricate dense periodical patterns, such as gratings, on hard transition metal nitride such… (more)

Subjects/Keywords: Diffraction gratings; Focused ion beam milling; Image processing/Data processing algorithm; Minaiture spectrometers; Sub-micrometer gratings; Zirconium nitride; Electrical and Computer Engineering; Optics

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APA (6th Edition):

Chandramohan, S. (2016). Dense Periodical Patterns In Photonic Devices: Technology For Fabrication And Device Performance. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1632

Chicago Manual of Style (16th Edition):

Chandramohan, Sabarish. “Dense Periodical Patterns In Photonic Devices: Technology For Fabrication And Device Performance.” 2016. Doctoral Dissertation, Wayne State University. Accessed November 13, 2019. https://digitalcommons.wayne.edu/oa_dissertations/1632.

MLA Handbook (7th Edition):

Chandramohan, Sabarish. “Dense Periodical Patterns In Photonic Devices: Technology For Fabrication And Device Performance.” 2016. Web. 13 Nov 2019.

Vancouver:

Chandramohan S. Dense Periodical Patterns In Photonic Devices: Technology For Fabrication And Device Performance. [Internet] [Doctoral dissertation]. Wayne State University; 2016. [cited 2019 Nov 13]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1632.

Council of Science Editors:

Chandramohan S. Dense Periodical Patterns In Photonic Devices: Technology For Fabrication And Device Performance. [Doctoral Dissertation]. Wayne State University; 2016. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1632


Portland State University

16. Majd, Farjam. Two new parallel processors for real time classification of 3-D moving objects and quad tree generation.

Degree: MS(M.S.) in Electrical and Computer Engineering, Electrical and Computer Engineering, 1985, Portland State University

  Two related image processing problems are addressed in this thesis. First, the problem of identification of 3-D objects in real time is explored. An… (more)

Subjects/Keywords: Parallel processing (Electronic computers); Real-time data processing; Image processing  – Digital techniques; Algorithms; Pattern recognition systems; Trees (Graph theory)  – Data processing; Electrical and Computer Engineering; Signal Processing

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APA (6th Edition):

Majd, F. (1985). Two new parallel processors for real time classification of 3-D moving objects and quad tree generation. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/3421

Chicago Manual of Style (16th Edition):

Majd, Farjam. “Two new parallel processors for real time classification of 3-D moving objects and quad tree generation.” 1985. Masters Thesis, Portland State University. Accessed November 13, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/3421.

MLA Handbook (7th Edition):

Majd, Farjam. “Two new parallel processors for real time classification of 3-D moving objects and quad tree generation.” 1985. Web. 13 Nov 2019.

Vancouver:

Majd F. Two new parallel processors for real time classification of 3-D moving objects and quad tree generation. [Internet] [Masters thesis]. Portland State University; 1985. [cited 2019 Nov 13]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3421.

Council of Science Editors:

Majd F. Two new parallel processors for real time classification of 3-D moving objects and quad tree generation. [Masters Thesis]. Portland State University; 1985. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3421


Utah State University

17. Yin, Li. Adaptive Background Modeling with Temporal Feature Update for Dynamic Foreground Object Removal.

Degree: MS, Electrical and Computer Engineering, 2016, Utah State University

  In the study of computer vision, background modeling is a fundamental and critical task in many conventional applications. This thesis presents an introduction to… (more)

Subjects/Keywords: signal processing; digital image processing; computer vision; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yin, L. (2016). Adaptive Background Modeling with Temporal Feature Update for Dynamic Foreground Object Removal. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/5040

Chicago Manual of Style (16th Edition):

Yin, Li. “Adaptive Background Modeling with Temporal Feature Update for Dynamic Foreground Object Removal.” 2016. Masters Thesis, Utah State University. Accessed November 13, 2019. https://digitalcommons.usu.edu/etd/5040.

MLA Handbook (7th Edition):

Yin, Li. “Adaptive Background Modeling with Temporal Feature Update for Dynamic Foreground Object Removal.” 2016. Web. 13 Nov 2019.

Vancouver:

Yin L. Adaptive Background Modeling with Temporal Feature Update for Dynamic Foreground Object Removal. [Internet] [Masters thesis]. Utah State University; 2016. [cited 2019 Nov 13]. Available from: https://digitalcommons.usu.edu/etd/5040.

Council of Science Editors:

Yin L. Adaptive Background Modeling with Temporal Feature Update for Dynamic Foreground Object Removal. [Masters Thesis]. Utah State University; 2016. Available from: https://digitalcommons.usu.edu/etd/5040


Virginia Tech

18. Claybon III, Swazoo. Automated Fluorescence Microscopy Determination of Mycobacterium Tuberculosis Count via Vessel Filtering.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 Tuberculosis (TB), a deadly infectious disease caused by the bacillus Mycobacterium tuberculosis (MTB), is the leading infectious disease killer globally, ranking in the top 10… (more)

Subjects/Keywords: tuberculosis; Frangi filter; image processing; Hessian

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APA (6th Edition):

Claybon III, S. (2017). Automated Fluorescence Microscopy Determination of Mycobacterium Tuberculosis Count via Vessel Filtering. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78237

Chicago Manual of Style (16th Edition):

Claybon III, Swazoo. “Automated Fluorescence Microscopy Determination of Mycobacterium Tuberculosis Count via Vessel Filtering.” 2017. Masters Thesis, Virginia Tech. Accessed November 13, 2019. http://hdl.handle.net/10919/78237.

MLA Handbook (7th Edition):

Claybon III, Swazoo. “Automated Fluorescence Microscopy Determination of Mycobacterium Tuberculosis Count via Vessel Filtering.” 2017. Web. 13 Nov 2019.

Vancouver:

Claybon III S. Automated Fluorescence Microscopy Determination of Mycobacterium Tuberculosis Count via Vessel Filtering. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10919/78237.

Council of Science Editors:

Claybon III S. Automated Fluorescence Microscopy Determination of Mycobacterium Tuberculosis Count via Vessel Filtering. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78237


Georgia Tech

19. Ko, Jong Hwan. Resource-aware and robust image processing for intelligent sensor systems.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective of this research is to design resource-aware and robust image processing algorithms, system architecture, and hardware implementation for intelligent image sensor systems in… (more)

Subjects/Keywords: Image processing; Deep learning; Sensor systems

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APA (6th Edition):

Ko, J. H. (2018). Resource-aware and robust image processing for intelligent sensor systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60198

Chicago Manual of Style (16th Edition):

Ko, Jong Hwan. “Resource-aware and robust image processing for intelligent sensor systems.” 2018. Doctoral Dissertation, Georgia Tech. Accessed November 13, 2019. http://hdl.handle.net/1853/60198.

MLA Handbook (7th Edition):

Ko, Jong Hwan. “Resource-aware and robust image processing for intelligent sensor systems.” 2018. Web. 13 Nov 2019.

Vancouver:

Ko JH. Resource-aware and robust image processing for intelligent sensor systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1853/60198.

Council of Science Editors:

Ko JH. Resource-aware and robust image processing for intelligent sensor systems. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60198


Rutgers University

20. Tang, Yaqin, 1992-. Content adaptive encoding method for high frame rate screen-camera communication.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

 As both screen displaying speed and camera capturing speed has been improved significantly over recent years, there has been increasing interest in using this technique… (more)

Subjects/Keywords: Image processing; High-speed video recording

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APA (6th Edition):

Tang, Yaqin, 1. (2016). Content adaptive encoding method for high frame rate screen-camera communication. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49339/

Chicago Manual of Style (16th Edition):

Tang, Yaqin, 1992-. “Content adaptive encoding method for high frame rate screen-camera communication.” 2016. Masters Thesis, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/49339/.

MLA Handbook (7th Edition):

Tang, Yaqin, 1992-. “Content adaptive encoding method for high frame rate screen-camera communication.” 2016. Web. 13 Nov 2019.

Vancouver:

Tang, Yaqin 1. Content adaptive encoding method for high frame rate screen-camera communication. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49339/.

Council of Science Editors:

Tang, Yaqin 1. Content adaptive encoding method for high frame rate screen-camera communication. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49339/


Rutgers University

21. Krishna, Arjun, 1991-. Stereo vision-based vehicular proximity estimation.

Degree: MS, Electrical and Computer Engineering, 2014, Rutgers University

 This thesis describes an innovative and cost effective method to develop a low-cost following distance logging algorithm for volunteer participants which will allow quantitative research… (more)

Subjects/Keywords: Motor vehicle driving; Image processing; Depth perception

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APA (6th Edition):

Krishna, Arjun, 1. (2014). Stereo vision-based vehicular proximity estimation. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45319/

Chicago Manual of Style (16th Edition):

Krishna, Arjun, 1991-. “Stereo vision-based vehicular proximity estimation.” 2014. Masters Thesis, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/45319/.

MLA Handbook (7th Edition):

Krishna, Arjun, 1991-. “Stereo vision-based vehicular proximity estimation.” 2014. Web. 13 Nov 2019.

Vancouver:

Krishna, Arjun 1. Stereo vision-based vehicular proximity estimation. [Internet] [Masters thesis]. Rutgers University; 2014. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45319/.

Council of Science Editors:

Krishna, Arjun 1. Stereo vision-based vehicular proximity estimation. [Masters Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45319/


Rutgers University

22. Zhang, He, 1992-. Sparse representation-based open set recognition.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

 In this thesis, we study an open set recognition algorithm that is based on the Sparse Representation-based Classification (SRC) method. By modeling the tail distributions… (more)

Subjects/Keywords: Computer vision; Image processing; Extreme value theory

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APA (6th Edition):

Zhang, He, 1. (2016). Sparse representation-based open set recognition. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50497/

Chicago Manual of Style (16th Edition):

Zhang, He, 1992-. “Sparse representation-based open set recognition.” 2016. Masters Thesis, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/50497/.

MLA Handbook (7th Edition):

Zhang, He, 1992-. “Sparse representation-based open set recognition.” 2016. Web. 13 Nov 2019.

Vancouver:

Zhang, He 1. Sparse representation-based open set recognition. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50497/.

Council of Science Editors:

Zhang, He 1. Sparse representation-based open set recognition. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50497/


Rutgers University

23. Eun, Kyung Lee. Proactive thermal-aware management in cloud datacenters.

Degree: PhD, Electrical and Computer Engineering, 2015, Rutgers University

The complexity of modern datacenters is growing at an alarming rate due to the rising popularity of the cloud-computing paradigm as an effective means to… (more)

Subjects/Keywords: Cloud computing; Data processing service centers – Heating and ventilation; Data processing service centers – Cooling; Data processing service centers – Energy conservation

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APA (6th Edition):

Eun, K. L. (2015). Proactive thermal-aware management in cloud datacenters. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/46378/

Chicago Manual of Style (16th Edition):

Eun, Kyung Lee. “Proactive thermal-aware management in cloud datacenters.” 2015. Doctoral Dissertation, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/46378/.

MLA Handbook (7th Edition):

Eun, Kyung Lee. “Proactive thermal-aware management in cloud datacenters.” 2015. Web. 13 Nov 2019.

Vancouver:

Eun KL. Proactive thermal-aware management in cloud datacenters. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46378/.

Council of Science Editors:

Eun KL. Proactive thermal-aware management in cloud datacenters. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46378/


University of Florida

24. Jhee, Hojin. Multi-Resolution Image Fusion using Multi-Scale Estimation Framework.

Degree: PhD, Electrical and Computer Engineering, 2010, University of Florida

 Recently, we have been experiencing remarkable advance in remote sensing technology and it allows us to capture large classes of natural processes and phenomenon at… (more)

Subjects/Keywords: Covariance; Data smoothing; Dyadics; High resolution; Image processing; Image resolution; Kalman filters; Multiscale modeling; Pixels; Topographical elevation; estimation, imagefusion, kalman, multiresolution, quadtree

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APA (6th Edition):

Jhee, H. (2010). Multi-Resolution Image Fusion using Multi-Scale Estimation Framework. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041618

Chicago Manual of Style (16th Edition):

Jhee, Hojin. “Multi-Resolution Image Fusion using Multi-Scale Estimation Framework.” 2010. Doctoral Dissertation, University of Florida. Accessed November 13, 2019. http://ufdc.ufl.edu/UFE0041618.

MLA Handbook (7th Edition):

Jhee, Hojin. “Multi-Resolution Image Fusion using Multi-Scale Estimation Framework.” 2010. Web. 13 Nov 2019.

Vancouver:

Jhee H. Multi-Resolution Image Fusion using Multi-Scale Estimation Framework. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Nov 13]. Available from: http://ufdc.ufl.edu/UFE0041618.

Council of Science Editors:

Jhee H. Multi-Resolution Image Fusion using Multi-Scale Estimation Framework. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041618


Georgia Tech

25. Nai, Lifeng. Enabling efficient graph computing with near-data processing techniques.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 With the emergence of data science, graph computing is becoming a crucial tool for processing big connected data. However, when mapped to modern computing systems,… (more)

Subjects/Keywords: Processing-in-memory; Graph computing; Near-data processing

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APA (6th Edition):

Nai, L. (2017). Enabling efficient graph computing with near-data processing techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59789

Chicago Manual of Style (16th Edition):

Nai, Lifeng. “Enabling efficient graph computing with near-data processing techniques.” 2017. Doctoral Dissertation, Georgia Tech. Accessed November 13, 2019. http://hdl.handle.net/1853/59789.

MLA Handbook (7th Edition):

Nai, Lifeng. “Enabling efficient graph computing with near-data processing techniques.” 2017. Web. 13 Nov 2019.

Vancouver:

Nai L. Enabling efficient graph computing with near-data processing techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1853/59789.

Council of Science Editors:

Nai L. Enabling efficient graph computing with near-data processing techniques. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59789


Rutgers University

26. Pandhe, Shraddha, 1987-. Design and implementation of distributed mobile computing platform using Hadoop.

Degree: MS, Electrical and Computer Engineering, 2013, Rutgers University

 This thesis is aimed at design and evaluation of a distributed cloud computing platform using mobile nodes connected via cellular network. Such a “Mobile Cloud”… (more)

Subjects/Keywords: Cloud computing; Electronic data processing – Distributed processing – Programming; Apache Hadoop

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APA (6th Edition):

Pandhe, Shraddha, 1. (2013). Design and implementation of distributed mobile computing platform using Hadoop. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41887/

Chicago Manual of Style (16th Edition):

Pandhe, Shraddha, 1987-. “Design and implementation of distributed mobile computing platform using Hadoop.” 2013. Masters Thesis, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/41887/.

MLA Handbook (7th Edition):

Pandhe, Shraddha, 1987-. “Design and implementation of distributed mobile computing platform using Hadoop.” 2013. Web. 13 Nov 2019.

Vancouver:

Pandhe, Shraddha 1. Design and implementation of distributed mobile computing platform using Hadoop. [Internet] [Masters thesis]. Rutgers University; 2013. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41887/.

Council of Science Editors:

Pandhe, Shraddha 1. Design and implementation of distributed mobile computing platform using Hadoop. [Masters Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41887/


Rutgers University

27. Kumar, Manonit. Characterizing the GlusterFS file system for software defined network research.

Degree: MS, Electrical and Computer Engineering, 2015, Rutgers University

 With the rapid rise of online resources such as those o ered by Google, Dropbox and Mi- crosoft cloud computing is playing a bigger part… (more)

Subjects/Keywords: Cloud computing; Electronic data processing – Distributed processing; Computer network architectures

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APA (6th Edition):

Kumar, M. (2015). Characterizing the GlusterFS file system for software defined network research. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/46377/

Chicago Manual of Style (16th Edition):

Kumar, Manonit. “Characterizing the GlusterFS file system for software defined network research.” 2015. Masters Thesis, Rutgers University. Accessed November 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/46377/.

MLA Handbook (7th Edition):

Kumar, Manonit. “Characterizing the GlusterFS file system for software defined network research.” 2015. Web. 13 Nov 2019.

Vancouver:

Kumar M. Characterizing the GlusterFS file system for software defined network research. [Internet] [Masters thesis]. Rutgers University; 2015. [cited 2019 Nov 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46377/.

Council of Science Editors:

Kumar M. Characterizing the GlusterFS file system for software defined network research. [Masters Thesis]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46377/


University of Florida

28. Craciun, Stefan. FPGA Architecture for Real-Time Information Extraction and Feature-Based Classification in Image Processing.

Degree: PhD, Electrical and Computer Engineering, 2015, University of Florida

 The field of computer vison has made great strides toward the goal of image understanding. Today computer-vison applications can accurately track and recognize large databases… (more)

Subjects/Keywords: Algorithms; Architectural design; Boxes; Image filters; Image processing; Image resolution; Pipelines; Pixels; Real time computing; Windows; embedded  – feature-extraction  – fpga  – hardware-architecture  – image-processing  – object-recognition  – real-time-image-processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Craciun, S. (2015). FPGA Architecture for Real-Time Information Extraction and Feature-Based Classification in Image Processing. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049569

Chicago Manual of Style (16th Edition):

Craciun, Stefan. “FPGA Architecture for Real-Time Information Extraction and Feature-Based Classification in Image Processing.” 2015. Doctoral Dissertation, University of Florida. Accessed November 13, 2019. http://ufdc.ufl.edu/UFE0049569.

MLA Handbook (7th Edition):

Craciun, Stefan. “FPGA Architecture for Real-Time Information Extraction and Feature-Based Classification in Image Processing.” 2015. Web. 13 Nov 2019.

Vancouver:

Craciun S. FPGA Architecture for Real-Time Information Extraction and Feature-Based Classification in Image Processing. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Nov 13]. Available from: http://ufdc.ufl.edu/UFE0049569.

Council of Science Editors:

Craciun S. FPGA Architecture for Real-Time Information Extraction and Feature-Based Classification in Image Processing. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049569


Purdue University

29. Liu, He. Image Quality Estimation: Soft-ware for Objective Evaluation.

Degree: MSECE, Electrical and Computer Engineering, 2016, Purdue University

  Digital images are widely used in our daily lives and the quality of images is important to the viewing experience. Low quality images may… (more)

Subjects/Keywords: Applied sciences; Image distortion; Image processing; Image quality; Image quality estimator; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, H. (2016). Image Quality Estimation: Soft-ware for Objective Evaluation. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/960

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, He. “Image Quality Estimation: Soft-ware for Objective Evaluation.” 2016. Thesis, Purdue University. Accessed November 13, 2019. https://docs.lib.purdue.edu/open_access_theses/960.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, He. “Image Quality Estimation: Soft-ware for Objective Evaluation.” 2016. Web. 13 Nov 2019.

Vancouver:

Liu H. Image Quality Estimation: Soft-ware for Objective Evaluation. [Internet] [Thesis]. Purdue University; 2016. [cited 2019 Nov 13]. Available from: https://docs.lib.purdue.edu/open_access_theses/960.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu H. Image Quality Estimation: Soft-ware for Objective Evaluation. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/960

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Portland State University

30. Naderi, Ramin. Quadtree-based processing of digital images.

Degree: MS(M.S.) in Electrical and Computer Engineering, Electrical and Computer Engineering, 1986, Portland State University

Image representation plays an important role in image processing applications, which usually. contain a huge amount of data. An image is a two-dimensional array… (more)

Subjects/Keywords: Trees (Graph theory)  – Data processing; Image processing  – Digital techniques; Parallel processing (Electronic computers); Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Naderi, R. (1986). Quadtree-based processing of digital images. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/3590

Chicago Manual of Style (16th Edition):

Naderi, Ramin. “Quadtree-based processing of digital images.” 1986. Masters Thesis, Portland State University. Accessed November 13, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/3590.

MLA Handbook (7th Edition):

Naderi, Ramin. “Quadtree-based processing of digital images.” 1986. Web. 13 Nov 2019.

Vancouver:

Naderi R. Quadtree-based processing of digital images. [Internet] [Masters thesis]. Portland State University; 1986. [cited 2019 Nov 13]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3590.

Council of Science Editors:

Naderi R. Quadtree-based processing of digital images. [Masters Thesis]. Portland State University; 1986. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3590

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